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HCR spectral imaging: 10-plex, quantitative, high-resolution RNA and protein imaging in highly autofluorescent samples.
Schulte, Samuel J; Fornace, Mark E; Hall, John K; Shin, Grace J; Pierce, Niles A.
  • Schulte SJ; Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
  • Fornace ME; Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
  • Hall JK; Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
  • Shin GJ; Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
  • Pierce NA; Division of Biology & Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Development ; 151(4)2024 Feb 15.
Article en En | MEDLINE | ID: mdl-38415752
ABSTRACT
Signal amplification based on the mechanism of hybridization chain reaction (HCR) provides a unified framework for multiplex, quantitative, high-resolution imaging of RNA and protein targets in highly autofluorescent samples. With conventional bandpass imaging, multiplexing is typically limited to four or five targets owing to the difficulty in separating signals generated by fluorophores with overlapping spectra. Spectral imaging has offered the conceptual promise of higher levels of multiplexing, but it has been challenging to realize this potential in highly autofluorescent samples, including whole-mount vertebrate embryos. Here, we demonstrate robust HCR spectral imaging with linear unmixing, enabling simultaneous imaging of ten RNA and/or protein targets in whole-mount zebrafish embryos and mouse brain sections. Further, we demonstrate that the amplified and unmixed signal in each of the ten channels is quantitative, enabling accurate and precise relative quantitation of RNA and/or protein targets with subcellular resolution, and RNA absolute quantitation with single-molecule resolution, in the anatomical context of highly autofluorescent samples.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Pez Cebra / Diagnóstico por Imagen Límite: Animals Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Pez Cebra / Diagnóstico por Imagen Límite: Animals Idioma: En Año: 2024 Tipo del documento: Article